Publication Date
5-11-2020
Document Type
Article
Organizational Units
University Libraries
Keywords
Elastic search, Search, Indexing, Search engine, Academic library
Abstract
This article discusses our implementation of an Elastic cluster to address our search, search administration and indexing needs, how it integrates in our technology infrastructure, and finally takes a close look at the way that we built a reusable, dynamic search engine that powers our digital repository search. We cover the lessons learned with our early implementations and how to address them to lay the groundwork for a scalable, networked search environment that can also be applied to alternative search engines such as Solr.
Copyright Statement / License for Reuse
This work is licensed under a Creative Commons Attribution 3.0 License.
Publication Statement
This article was originally published as:
Pham, K., Reyes, F., & Rynhart, J. (2020). Building a library search infrastructure with Elasticsearch. Code{4}lib Journal, 48. https://journal.code4lib.org/articles/15203
Copyright is held by the authors. User is responsible for all copyright compliance.
Rights Holder
Kim Pham, Fernando Reyes, Jeff Rynhart
Provenance
Received from author
File Format
application/pdf
Language
English (eng)
Extent
12 pgs
File Size
1021 KB
Publication Title
Code4lib Journal
First Page
1
Last Page
14
ISSN
1940-5758
Recommended Citation
Pham, Kim; Reyes, Fernando; and Rynhart, Jeff, "Building a Library Search Infrastructure with Elasticsearch" (2020). University Libraries: Faculty Scholarship. 129.
https://digitalcommons.du.edu/libraries_facpub/129